I’m an undergrad student working with a phD student on post-fire seed camouflage. We want to know if there are differences of seed colour between northern and southern populations of jack pine, since they experience different fire regimes (frequent fires in the north and rare fires in the south). The main predators of jackpine seeds are birds, so we need to take pictures in the UV as well. Since we are working with a large volume of seeds (2000, 4000 pictures total), we were wondering if it is possible to use batch-processing to create a large volume of calibrated .mspec images in an automated way.
Also, we will probably take UV and visible images separately. They are only two options in the micaToolbox for calibrated .mspec images (Visible and Visible & UV). How can we take pictures in the UV spectrum only ? Do we have to select Visible as well ?
Cool sounding project!
There are no super-easy to implement automated calibration processes I’m afraid. If all your photos are taken with the same lighting (and you’re absolutely certain there’s no change – you can test this by loading lots of images and seeing if the standards are always the same), then you can easily make shortcuts where e.g. modify the .mpsec text file so that it points to different images each time. Effectively copy and modify that text file for each photo pair.
Regarding UV, if you only want UV images separately from visible, just calibrate the UV image with “Visible” only. This will make the software open all three RGB channels and you can simply ignore the green (which is typically quite noisy).